Lesson DB4-DB5

DB4-DB5 Travelling salesperson bounds and refining network models Quiz: AQA Further Maths, Unit 5

20 questions

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Lesson DB4-DB5, Travelling salesperson bounds and refining network models: 20 multiple choice questions for the AQA Further Maths (7367), Unit 5: Optional application 3: discrete mathematics, written with Revision Ninja.

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The 20 questions

  1. What type of cycle does the travelling salesperson problem aim to find with minimum total weight?

    • Maximum spanning tree
    • Minimum Eulerian cycle
    • Minimum Hamiltonian cycle
    • Shortest path tree
  2. Which algorithm produces a lower bound for the travelling salesperson problem?

    • Deleted node MST
    • Chinese postman algorithm
    • Dijkstra's algorithm
    • Nearest neighbour algorithm
  3. Which algorithm gives an upper bound for the travelling salesperson problem?

    • Nearest neighbour algorithm
    • Kruskal's algorithm
    • Prim's algorithm
    • Deleted node MST
  4. A TSP network has lower bound 18 and upper bound 20. What is the range for the optimal weight?

    • At least 20
    • At most 18
    • 18 to 20
    • Greater than 20
  5. A complete network has nodes A, B, C, D, E with arc weights AB=4, AC=6, AD=5, AE=7, BC=3, BD=8, BE=6, CD=4, CE=5 and DE=2. Deleting node A leaves nodes B, C, D and E, whose minimum spanning tree has weight 9. What is the lower bound for the travelling salesperson problem?

    • 20
    • 9
    • 18
    • 13
  6. A complete network has nodes A, B, C, D, E with arc weights AB=4, AC=6, AD=5, AE=7, BC=3, BD=8, BE=6, CD=4, CE=5 and DE=2. Using the nearest neighbour method starting at A, the tour is A-B-C-D-E-A. What is its total weight?

    • 18
    • 19
    • 20
    • 22
  7. A complete network has nodes A, B, C, D, E with arc weights AB=4, AC=6, AD=5, AE=7, BC=3, BD=8, BE=6, CD=4, CE=5 and DE=2. What is the total weight of the tour A-B-C-E-D-A?

    • 21
    • 19
    • 20
    • 18
  8. Removing one node and its two connected tour arcs leaves which structure on the remaining nodes?

    • Complete graph
    • Bipartite graph
    • Spanning tree
    • Hamiltonian cycle
  9. How many distinct Hamiltonian cycles does a complete network on 6 nodes have, treating a cycle and its reverse as the same?

    • 720
    • 60
    • 30
    • 120
  10. How can the upper bound from the nearest neighbour algorithm be improved for a TSP?

    • Delete multiple nodes
    • Reverse arc directions
    • Remove longest edges
    • Try different starts
  11. A new arc is added to a TSP network model. How does the optimal tour weight change?

    • Always decreases
    • Decreases or unchanged
    • Increases or unchanged
    • Always increases
  12. How is a one-way street represented when refining a network model?

    • Loop arc
    • Undirected edge
    • Dummy node
    • Directed arc
  13. If deleting a node gives a minimum spanning tree of weight W on the remaining nodes, and the two smallest arcs at the deleted node have weights a and b, what is the lower bound for the travelling salesperson problem?

    • W + a + b
    • 2W + a + b
    • W + a - b
    • W + 2a + 2b
  14. A TSP lower bound is 31 and upper bound is 38. What is the gap between these bounds?

    • 12
    • 35
    • 69
    • 7
  15. To account for varying traffic levels during the day, how should arc weights be refined?

    • Time-dependent weights
    • Zero weights
    • Negative weights
    • Constant weights
  16. Why is a TSP tour impossible in a network containing a node of degree 1?

    • Requires degree zero
    • Requires odd degree
    • Requires degree two
    • Requires degree three
  17. Why can the deleted node MST lower bound be strictly less than the optimal TSP tour weight?

    • Contains negative weights
    • Not a tour
    • Exceeds max capacity
    • Has disconnected nodes
  18. A complete network has nodes A, B, C, D, E with arc weights AB=4, AC=6, AD=5, AE=7, BC=3, BD=8, BE=6, CD=4, CE=5 and DE=2. Using the nearest neighbour method starting at C, the tour found is C-B-A-D-E-C. What is its total weight?

    • 18
    • 22
    • 19
    • 20
  19. What primary benefit do lower and upper bounds provide for a TSP problem?

    • Calculate exact weight
    • Eliminate all nodes
    • Guarantee unique route
    • Bracket optimal weight
  20. How many distinct Hamiltonian cycles does a complete network on 5 nodes have, treating a cycle and its reverse as the same?

    • 120
    • 24
    • 6
    • 12

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